Generation of improved test cases from UML state diagram using genetic algorithm
Proceedings of the 4th India Software Engineering Conference
Transition coverage testing for simulink/stateflow models using messy genetic algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Information and Software Technology
An improved test generation approach from extended finite state machines using genetic algorithms
SEFM'12 Proceedings of the 10th international conference on Software Engineering and Formal Methods
Journal of Systems and Software
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The extended finite state machine is a powerful model that can capture almost all the aspects of a system. However, testing from an EFSM is yet a challenging task due to two main problems: path feasibility and path test data generation. Although optimization algorithms are efficient, their applications to EFSM testing have received very little attention. The aim of this paper is to develop a novel approach that utilizes optimization algorithms to test from EFSM models.